Topics including (but not limited to)....

  • Rising power needs

  •  

    Advanced cooling

  •  

     

     

     

       Latest & Greatest New Tech

  • How compute is used

  • Efficient computing & explaining stuff

  •   We argue about it all!

Radio Free HPC (RFHPC) started in 2012 and, after a short break of 193 months, has returned to the airwaves (cyber waves?) with co-hosts Dan Olds, Henry Newman, and Shahin Khan.

The podcast covers a wide range of topics but is particularly focused on data center technology and challenges. These include high performance computing, power and cooling, new technology, and, really, whatever the hell they want to talk about.

 

Quick FAQ


"Why are you just covering HPC? There's this new thing called AI, have you heard of it?"

Yeah, we've heard of it and we do cover it. To us, HPC is a broad term used to refer to a very broad group of apps/workloads that have common characteristics.

  1. They are computationally intense
  2. Time to solution and quality of solution are critical
  3. The output is important enough to justify investment in high-end clusters and associated hardware/software

AI meets all of the criteria above just like bioscience, aerospace, weather prediction, and several other domains. In fact, AI is or will soon be folded into the workflows of nearly every 'traditional' HPC and enterprise application over time. This is going to put a lot of pressure on data centers and we'll be talking about how to deal with it.

 

"Was the old version of Radio Free HPC popular? I've never heard of it..."

Yes, it rose from obscurity to being mildly popular and, at times, entertaining. At our peak, we had as many as 16 sustained listeners and as many as 19 theoretical max listeners.

 

"I listened to the old show a couple of times and liked the arguing. Will there be more of that in this reboot?"

Yes, in fact we expect as much as 29% more arguing and a significant increase in the number of personal insults per episode.

 

"How often will this thing come out and how do I find out about it?"

We used to try to do weekly shows but failed due to other commitments, travel, etc. And there were just weeks when nothing important happened. But to answer your question, could be every couple of weeks, could be once a month, or we could record a marathon 8-10 hour single episode. Depends on what's happening and our mood.

We're getting together our RSS feeds and such but in the short term we'll be publicizing the episodes through the RFHPC X account and our individual social media accounts.

 

Ok, enough questions. If you want to learn more about the show and hosts, check out the "About" page.

Here are our most recent episodes along with the 345 or so previous editions, enjoy!

 

 

 

Latest Episode

  • Episode 266: Let’s Learn Deeply about Extreme Weather

    By admin | March 9, 2020 |

    This week we have Dan, Jessi, and Shahin on the call. Henry is off in Los Cruces overseeing construction of what can only be called a bunker. Why? Its main feature is 21-inch rammed earth walls, guaranteed to withstand withering heat waves, cold snaps, and probably any high caliber round. We speculate on the exact configuration of the home, wondering if Henry is running wild with the rammed earth and concrete theme, with concrete chairs and tables, plus rammed earth interior walls.

    Applying Deep Learning to Extreme Weather

    Dan deftly moves us on to the main topic of this show, how researchers are using supercomputers to apply deep learning to extreme weather. A research team from Rice University utilized three supercomputers (TACC’s Stampede 2, Wrangler, and Pittsburg Supercomputing Center’s Bridges system) to see if data on heat waves and cold spells could be predicted by analysis of atmospheric circulation and prior surface temperature. The results of these tests indicated that this deep learning approach is more accurate at predicting extreme weather.

    In the call, we discuss the computational difficulty of weather forecasting and the use case that the Rice researchers are testing. This promising research can pay great dividends in terms of  giving early warning to hazardous weather, saving crops and perhaps saving lives in the process.  As promised in the podcast, here’s a link to the paper. We also have a short discussion of what motivates Dan to read a particular paper and what turns him off. Jessi’s main standard in papers is that it has to be able to be printed in black and white and remain legible and understandable. So if you want to attract Jessi’s attention for your paper, make sure your charts don’t use color.

    Things You Think You Know, But Maybe Don't.

    The question this week is why Cray computers were horseshoe shaped.  One of the reasons was wire length and this shape puts the components closely together to reduce the length of the wires needed to connect them. It also gave them enough room for a person to get their hands inside to weave the wires. So the key was minimal, uniform, and accessible wire length. There are also a couple of other explanations, one is that it gave room for the liquid cooling pipes necessary to cool the box, another is that the system forms a capital “C” shape, which stands for, of course, Cray.

    Catch of the Week

    Henry: is away this week. (We know some of you don't read this all and come straight here!)

    Jessi:  Tells us that the US might want to take a close look at Estonia as a model to overcome cybersecurity. The country has put together a civilian cybersecurity force and instituted mandatory cyber classes in schools. This is a response to massive cyberattacks launched against Estonia in 2007 that took down much of their digital infrastructure for weeks.

    Shahin:  Discusses how Justine Haupt came up with a way to keep her cell phone from distracting her – she built a rotary dial interface for it. Along with helping save her from using the most time-wasting features on her phone, it will also confound an entire generation of folks who have never seen a rotary phone dialer. Justine also is working in robotics and has a page of her inventions and thoughts.

    Dan:  Brings up a story about a man convicted of murder mainly on the basis of DNA evidence, although that evidence was shaky, mainly saying that they couldn’t exclude him. His case was reopened by the Innocence Project who reached out to a company called Cybergenetics for further analysis. Cybergenetics ran samples through their 170,000 line AI algorithm and found that there was zero chance that the convicted man’s DNA was present in the sample. So the man will be released, which is great. The problem is that the Cbyergenetics code is a black box and the company, citing competitive advantage, will not release the code.  How should we deal with situations like this in the future?

    Listen in to hear the full conversation

    * Download the MP3 

     

     

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